Yebiao Jin
About Yebiao Jin
Yebiao Jin is a Quantitative Researcher at Squarepoint Capital, specializing in quantitative factor pricing models and computational macro-finance models using machine learning techniques. He holds a PhD in Applied Mathematics from the University of Pennsylvania and has previously worked at Neo Ivy Capital.
Work at Squarepoint Capital
Yebiao Jin serves as a Quantitative Researcher at Squarepoint Capital, a position he has held since 2023. In this role, he engages in research that leverages high-performance GPU computing to enhance quantitative analysis. His work focuses on developing and implementing advanced quantitative factor pricing models and computational macro-finance models, utilizing machine learning techniques to optimize financial strategies.
Previous Experience at Neo Ivy Capital
Before joining Squarepoint Capital, Yebiao Jin worked as a Quantitative Researcher at Neo Ivy Capital from 2021 to 2022. During his tenure, he contributed to various quantitative research initiatives, applying his expertise in mathematical economics and computational finance to support investment strategies.
Education and Expertise
Yebiao Jin holds a Doctor of Philosophy (PhD) in Applied Mathematics from the University of Pennsylvania, which he completed from 2016 to 2021. He also earned a Master of Arts (MA) in Applied Mathematics from the same institution between 2016 and 2018. Prior to this, he obtained a Bachelor's degree in Mathematical Economics from Shanghai University of Finance and Economics, where he also completed a minor in Economic Mathematics from 2013 to 2016.
Research Focus and Techniques
Yebiao Jin's research primarily concentrates on quantitative factor pricing models and computational macro-finance models. He employs machine learning techniques to enhance the accuracy and efficiency of his models. His expertise in high-performance GPU computing plays a critical role in his research projects, allowing for more complex computations and analyses.